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.gitattributes CHANGED
@@ -33,3 +33,4 @@ saved_model/**/* filter=lfs diff=lfs merge=lfs -text
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README.md ADDED
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+ ---
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+ library_name: transformers
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+ base_model: sam-paech/gutenberg3-orpo-exp02
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+ tags:
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+ - alignment-handbook
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+ - generated_from_trainer
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+ datasets:
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+ - sam-paech/gutenberg3-generalfiction-scifi-fantasy-romance-adventure-dpo
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+ model-index:
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+ - name: gemma-2-9b-it-gutenberg3
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+ results: []
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+ ---
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+
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+ <!-- This model card has been generated automatically according to the information the Trainer had access to. You
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+ should probably proofread and complete it, then remove this comment. -->
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+
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+ # gemma-2-9b-it-gutenberg3
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+
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+ This model is a fine-tuned version of [sam-paech/gutenberg3-orpo-exp02](https://huggingface.co/sam-paech/gutenberg3-orpo-exp02) on the sam-paech/gutenberg3-generalfiction-scifi-fantasy-romance-adventure-dpo dataset.
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+ It achieves the following results on the evaluation set:
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+ - Loss: 20.3722
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+ - Rewards/chosen: -27.5820
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+ - Rewards/rejected: -11.3463
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+ - Rewards/accuracies: 0.0
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+ - Rewards/margins: -16.2357
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+ - Logps/rejected: -1.1346
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+ - Logps/chosen: -2.7582
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+
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+ ## Model description
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+
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+ More information needed
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+
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+ ## Intended uses & limitations
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+
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+ More information needed
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+
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+ ## Training and evaluation data
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+
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+ More information needed
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+
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+ ## Training procedure
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+
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+ ### Training hyperparameters
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+
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+ The following hyperparameters were used during training:
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+ - learning_rate: 5.8e-08
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+ - train_batch_size: 1
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+ - eval_batch_size: 1
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+ - seed: 42
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+ - distributed_type: multi-GPU
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+ - num_devices: 5
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+ - gradient_accumulation_steps: 2
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+ - total_train_batch_size: 10
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+ - total_eval_batch_size: 5
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+ - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
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+ - lr_scheduler_type: cosine
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+ - lr_scheduler_warmup_ratio: 0.1
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+ - num_epochs: 1
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+
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+ ### Training results
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+
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+ | Training Loss | Epoch | Step | Validation Loss | Rewards/chosen | Rewards/rejected | Rewards/accuracies | Rewards/margins | Logps/rejected | Logps/chosen |
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+ |:-------------:|:------:|:----:|:---------------:|:--------------:|:----------------:|:------------------:|:---------------:|:--------------:|:------------:|
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+ | 20.2621 | 0.7092 | 400 | 20.3722 | -27.5820 | -11.3463 | 0.0 | -16.2357 | -1.1346 | -2.7582 |
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+
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+
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+ ### Framework versions
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+
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+ - Transformers 4.45.2
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+ - Pytorch 2.2.0+cu121
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+ - Datasets 3.0.1
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+ - Tokenizers 0.20.1
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+ {
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+ "epoch": 1.0,
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+ "eval_logps/chosen": -2.7619028091430664,
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+ "eval_logps/rejected": -1.1848111152648926,
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+ "eval_loss": 19.815065383911133,
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+ "eval_rewards/accuracies": 0.0,
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+ "eval_rewards/chosen": -27.619028091430664,
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+ "eval_rewards/margins": -15.770916938781738,
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+ "eval_rewards/rejected": -11.848111152648926,
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+ "eval_runtime": 4.3531,
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+ "eval_samples": 12,
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+ "eval_samples_per_second": 2.757,
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+ "eval_steps_per_second": 0.689,
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+ "total_flos": 0.0,
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+ "train_loss": 21.83849455109725,
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+ "train_runtime": 4561.3354,
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+ "train_samples": 5640,
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+ "train_samples_per_second": 1.236,
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+ "train_steps_per_second": 0.124
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+ }
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+ "torch_dtype": "bfloat16",
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+ "unsloth_version": "2024.9",
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